teal blue dots

Events

Deloitte at Analytics 2017

The INFORMS Conference on Business Analytics and Operations Research

Analytics 2017: The INFORMS Conference on Business Analytics and Operations Research (April 2–4, 2017) brings together leading analytics professionals, data scientists, and industry experts to discuss industry trends and case studies. Deloitte will showcase our breadth and depth of experience in business analytics and how we are helping clients use the insights generated to produce outcomes.

Deloitte at Analytics 2017

Special panel session: Growing an analytics team
Monday, April 3, 2017 | 2:10 pm–3:00 pm | Octavius 15/16 
Panelist: Dr. Juergen Klenk, principal, Deloitte Consulting LLP’s Monitor Strategy practice 

Analytics on unstructured data track

A practical guide to making NLP work in your organization
Tuesday, April 4, 2017 | 9:10 am–10:00 am | Octavius 5/6
Vishal Kapur, principal, Advanced Analytics and Financial Regulatory Practice, Deloitte Consulting LLP
Brian Ray, Cognitive Team lead, Products & Solutions, Deloitte Consulting LLP

Internet of Things track

IoT: Shining a light on the darkside of the factory line
Tuesday, April 4, 2017 | 11:30 am–12:20 pm | Octavius 7/8
Robert Schmid, Chief Internet of Things technologist, managing director, Deloitte Digital

Supply chain analytics track

The race to autonomous driving: Leveraging maximum difference scaling and GLM to prioritize what in-vehicle technologies consumers want
Tuesday, April 4, 2017 | 4:40 pm–5:30 pm | Octavius 18
Bharath Gangula, manager, Deloitte Services LP

Visit us at Booth 6

Learn more about our latest thinking in analytics and data science

Webinar: Society in the loop artificial intelligence: Autonomous vehicles and beyond

Technology advances are reshaping business and society at a dizzying clip. Cognitive or artificial intelligence (AI), robotics and process automation, big data, digital transformation, and the Internet of Things are changing the way we work, think, and live. Leaders in the business and science community are challenged to measure and infuse societal pressures into the design of autonomous systems.

Dark analytics: Illuminating opportunities hidden within unstructured data
Across enterprises, ever-expanding stores of data remain unstructured and unanalyzed. Few organizations have been able to explore nontraditional data sources such as image, audio, and video files; the torrent of machine and sensor information generated by the IoT; and the enormous troves of raw data found in the unexplored recesses of the “deep web.” However, recent advances in computer vision, pattern recognition, and cognitive analytics are making it possible for companies to shine a light on these untapped sources and derive insights that lead to better experiences and decision making across the business.

Machine intelligence: Technology mimics human cognition to create value
Artificial intelligence’s rapid evolution has given rise to myriad distinct—yet often misunderstood—AI capabilities such as machine learning, deep learning, cognitive analytics, robotics process automation (RPA), and bots, among others. Collectively, these and other tools constitute machine intelligence: Algorithmic capabilities that can augment employee performance, automate increasingly complex workloads, and develop “cognitive agents” that simulate both human thinking and engagement. Machine intelligence represents the next chapter in the advanced analytics journey.

Cognitive collaboration
Some have voiced fears that artificial intelligence could replace humans altogether. But that isn't likely. A more valuable approach may be to view machine and human intelligence as complementary, with each bringing its own strengths to the table.

Decoding the path to purchase: Autonomous analytics for customer mapping
Given the dizzying amounts of data hurling across cyberspace each second, companies that wish to glean customer insights through analytics should explore adding autonomous analytics to their sales and marketing arsenal along with plain old intuition and artisanal analytics.

Get in touch

Jim Guszcza

Jim Guszcza

Chief Data Scientist | Deloitte Analytics

Jim is the US chief data scientist of Deloitte Consulting, and a member of Deloitte’s Advanced Analytics and Modeling practice. Jim has extensive experience applying predictive analytics techniques in... More

Rajeev Ronanki

Rajeev Ronanki

Principal | Deloitte Consulting LLP

Rajeev has more than 20 years of healthcare and information technology experience. He leads Deloitte Consulting LLP’s cognitive computing and healthcare innovation practices, focused on implementing c... More

Related topics